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Cited by 317

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Ultrafast Laser-Driven Microlens to Focus and Energy-Select Mega-Electron Volt Protons

Toncian, Toma, Borghesi, Marco, Fuchs, Julien, d'Humières, Emmanuel, Antici, Patrizio, Audebert, Patrick, Brambrink, Erik, Cecchetti, Carlo Alberto, Pipahl, Ariane, Romagnani, Lorenzo, Willi, Oswald·2006·Science

Abstract

We present a technique for simultaneous focusing and energy selection of high-current, mega–electron volt proton beams with the use of radial, transient electric fields (10 7 to 10 10 volts per meter) triggered on the inner walls of a hollow microcylinder by an intense subpicosecond laser pulse. Because of the transient nature of the focusing fields, the proposed method allows selection of a desired range out of the spectrum of the polyenergetic proton beam. This technique addresses current drawbacks of laser-accelerated proton beams, such as their broad spectrum and divergence at the source.

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Crossref · 10.1126/science.1124412

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Metadata

Authors
Toncian, T., Borghesi, M., Fuchs, J., d'Humières, E., Antici, P., Audebert, P., Brambrink, E., Cecchetti, C. A., Pipahl, A., Romagnani, L., & Willi, O.
Venue
Science
Published
2006-04-21
Volume
312
Issue
5772
Pages
410-413
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2157314261
Cited by
317
References
13
FWCI
16.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ultrafast Laser-Driven Microlens to Focus and Energy-Select Mega-Electron Volt Protons. https://app.cochat.ai/papers/10.1126/science.1124412
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Toncian, T., Borghesi, M., Fuchs, J., d'Humières, E., Antici, P., Audebert, P., Brambrink, E., Cecchetti, C. A., Pipahl, A., Romagnani, L., & Willi, O. (2006). Ultrafast Laser-Driven Microlens to Focus and Energy-Select Mega-Electron Volt Protons. Science. https://doi.org/10.1126/science.1124412

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.